Episodit
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Diane Dagefoerde, Executive Advisor at Smart Columbus, joins host Lauren Burke-McCarthy live on stage at the 2024 DataConnect Conference. We discuss how Diane is supporting the development of Smart Columbus’ Community Information Exchange, aligning data across health and social service agencies to enable community insights, collaboration, and action.
About Diane
Leveraging 20+ years of technology and analytics experience, Diane has helped organizations reduce operating costs by 10-15%, freeing up funds for strategic investments, reducing employee turnover rates to as low as 4%, and streamlining service delivery to improve customer satisfaction.
Her technology and analytics approach works equally well in large, complex organizations with over $1B in revenues and smaller companies with revenues in the $1-5M range. She also brings over 10 years of first-hand senior living experience as the primary caregiver to her mother, who has lived in Independent Living, Assisted Living, and Memory Care communities in Ohio and Florida.
Diane is the author of Managing Elder Care from Afar: A Practical Guide for Busy People and has helped over 50 families navigate the caregiving journey.
Relevant Links
- Smart Columbus
- Columbus CIE Website
- Smart Columbus CIE Website
- Get Involved: Tech Volunteers
- Newsletter Signup
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- LinkedIn
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- Website
Transcript
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Interested in sponsoring an episode of WIA After Hours? Visit womeninanalytics.com/podcast for sponsorship information.
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In this episode, we're joined by Meghan Anzelc, Chief Data & Analytics Officer at Three Arc Advisory, and Christina Fernandes-D'Souza, Director of Data Science at Three Arc Advisory. They share how they've supported each other through their individual and interconnected career journeys as we discuss the value of mutual support, continued mentorship, sponsorship, and followership.
About Meghan
Meghan Anzelc, Ph.D. is an experienced executive in driving positive business impact through the use of data, artificial intelligence and technology. Previously Global Head of Data & Analytics at Spencer Stuart and Chief Analytics Officer at AXIS Capital, Dr. Anzelc is skilled at determining how existing and emerging technologies can be applied to business problems and providing jargon-free guidance to senior executives on technology and digital strategy and decision trade-offs. Dr. Anzelc currently serves as an Advisor to startups, served on the board and as chair of the Nom/Gov Committee of the Chicago Literacy Alliance, on the Grantmaking Committee of the Chicago Foundation for Women's Young Women's Giving Council, on the Steering Committee of the Women in Insurance Networking Group, and as an Advisory Board member to the American Physical Society's Advancing Graduate Leadership initiative. She holds a Master’s and PhD in Physics and Astronomy from Northwestern University and a Bachelor’s in Physics from Loyola University Chicago.
About Christina
Christina Fernandes-D’Souza has over 15 years of global, cross-industry experience combining strategy, data, analytics, machine learning, artificial intelligence and technology, in both the private and public sectors, delivering business opportunities and competitive advantage. Currently, Director of Data Science at Three Arc Advisory, guiding startups, established companies and their Boards on how to drive positive business impact from analytics and AI while managing risk. Previously, as a Director of Data Science at Spencer Stuart, co-lead building a global Analytics Function, focusing on analytics product development and digital transformation. As a Senior Data Scientist at Zurich North America, lead various analytical and machine learning initiatives in several Lines of Business. She holds a Master’s in Applied Mathematics, with a concentration in Actuarial Science.
Relevant Links
- Three Arc Advisory
- Suggested Informational Interview Questions
Follow Meghan
- LinkedIn
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Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Jen Tedrow, Executive Director of Pathfinder Product - A Testdouble Operation, joins us to discuss The State of Data as a Product in the Real-World Study.
Our new series, 5 Minute Feature, highlights impactful projects, use cases, and innovations in five minutes or less.
About Jen
Jen Tedrow is an accomplished product leader with over ten years of experience across a diverse range of industries, in companies from early-stage startups to Fortune 500.
As Executive Director at Pathfinder Product, Jen leads a team of product managers while helping clients achieve successful business outcomes. Her expertise spans multiple industries such as logistics, retail, and healthcare IT, including innovative work at companies such as Gap, Inc., Updox, and CoverMyMeds. Her ability to apply data-driven insights to decision-making has been critical to realizing success for organizations, including two startup exits.
Some of Jen’s most notable achievements as a data-driven product professional include a data mesh implementation for a large healthcare IT enterprise, supporting internal BI & analytics for a large retailer, and managing the customer-facing analytics product for a transportation management system.
Relevant Links
- Pathfinder Product
- The State of Data as a Product in the Real-World Survey
Follow Jen
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Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Joy Zhao, AVP of Advanced Analytics at Nationwide, shares her transformative journey in the tech world, illustrating how cultivating "thick skin," embracing self-empowerment, and mastering confidence can turn workplace challenges into career milestones and self-satisfaction into job satisfaction. She also shares her thoughts on executive presence and her path into public speaking.
About Joy
Joy Zhao, AVP, Advanced Analytics and High-Performance Computing. In her role in the Enterprise Analytics Office (EAO), Joy acts as a key liaison to the Telematics teams. She oversees modeling efforts for the most demanding business applications requiring extremely high-performance and/or extreme computing for statistical and machine learning models (e.g., telematics).
Joy holds an MD in Preventive Medicine and a PhD in Epidemiology. She joined Nationwide in February 2017 as a Director of Data Science. Before that, she worked at Chase for 5.5 years, following the Nationwide Children's Hospital Injury Prevention Research Institute and the University of Texas at San Antonio. Joy has led and delivered projects to support businesses at NF Retirement Solutions, Investment Structured Product, Commercial Small Market Underwriting models, and most recently EAO Telematics models. Joy had a great impact in forming ONE team and fostering broad collaborations on telematics efforts. Among all the accomplishments of the team, the delivery of the new version of Nationwide’s SmartRide Mobile Model enabled the new features of the product, improved customer experiences, and adopted the advancement of technology through the deployment. She also designed and launched the Data Science Learning Curriculum, the early version of Data Science & Advanced Analytics Learning.
Joy lives in Dublin, Ohio with her family. In her personal time, she spends time coaching professionals to reach their potential as a Trained and Professional Certified Coach (ICF PCC) for Leadership. She's held over 35 webinars in the last three and a half years to help people in the community, reaching an audience of more than 6,000. She likes to read, travel, watch movies, listen to music, and spend fun time with her family and friends.
Relevant Links
- Toastmasters
- Emerging Speaker Showcase
- Dare to Lead (Book)
Follow Joy
- LinkedIn
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Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Jen Tedrow, Executive Director of Pathfinder Product, joins us to share how leveraging data as a product benefits organizations and allows them to get the most out of their data.
We also discuss the motivation for The State of Data as a Product in the Real-World Survey, a partnership between Pathfinder and DataConnect with the goal of understanding the evolving landscape of 'data as a product' across industries. Respondents will gain early access to survey results and will be entered to win special prizes, like one of 4 passes to the 2024 DataConnect or a free workshop/coaching session from Pathfinder Product.
About Jen
Jen Tedrow is an accomplished product leader with over ten years of experience across a diverse range of industries, in companies from early-stage startups to Fortune 500.
As Executive Director at Pathfinder Product, Jen leads a team of product managers while helping clients achieve successful business outcomes. Her expertise spans multiple industries such as logistics, retail, and healthcare IT, including innovative work at companies such as Gap, Inc., Updox, and CoverMyMeds. Her ability to apply data-driven insights to decision-making has been critical to realizing success for organizations, including two startup exits.
Some of Jen’s most notable achievements as a data-driven product professional include a data mesh implementation for a large healthcare IT enterprise, supporting internal BI & analytics for a large retailer, and managing the customer-facing analytics product for a transportation management system.
Relevant Links
- Pathfinder Product
- The State of Data as a Product in the Real-World Survey
- Data: A Hoarder’s Storage Locker, Not a Magical Museum
- Fogg Behavior Model
- Presenting to Win: The Art of Telling Your Story
Follow Jen
- LinkedIn
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Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Kate Strachnyi, Founder of DATAcated and Author of ColorWise, joins host Lauren Burke live on stage at the 2023 DataConnect Conference to discuss the value of a strong personal brand and how to get started in growing your own.
About Kate
Kate Strachnyi is the Founder of DATAcated, providing brand amplification for companies focused on artificial intelligence (AI), machine learning (ML), and data science. She’s also the founder of the DATAcated Circle – a community of data professionals and hub for courses on data visualization best practices, data storytelling, and dashboarding. She’s delivered several courses on data storytelling, dashboard techniques and visual best practices.
Additionally, Kate is the host of the DATAcated Conference and the DATAcated On Air Podcast. She is the author of ColorWise: A Data Storyteller's Guide to the Intentional Use of Color. Kate was appointed a LinkedIn Top Voice of Data Science & Analytics in 2018 & 2019; she is also a LinkedIn Learning instructor. Kate is on the DataIQ 100 USA list in 2022. She’s the mother of two girls and enjoys running, hiking, and obstacle course races.
Relevant Links
- ColorWise: A Data Storyteller's Guide to the Intentional Use of Color
- Use of Data Analytics in Running
- TCS NYC Marathon Recap 2021
- Humans of Data Science
- Canva
- StreamYard
Follow DATAcated
- LinkedIn
- Twitter
- Website
- YouTube
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- LinkedIn
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Transcript
CLICK HERE
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Interested in sponsoring an episode of WIA After Hours? Visit womeninanalytics.com/podcast for sponsorship information.
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Supreet Kaur, AVP at Morgan Stanley, joins us to discuss how explainable AI drives responsible AI, and the role of each when developing AI products. We cover the key steps in building a data-driven culture and how data democratization and data literacy support understanding. Supreet also shares the inspiration behind the Databuzz community and how she has leveraged LinkedIn in building her personal brand.
About Supreet
Supreet is an accomplished AVP at Morgan Stanley, where she leads the development of cutting-edge AI products that will define the next generation of financial technology. Her innovative approach to problem-solving and her expertise in leveraging the latest technologies have been instrumental in positioning Morgan Stanley as a leader in the fintech industry.
Prior to joining Morgan Stanley, Supreet honed her skills as a data science consultant at ZS Associates, where she automated complex workflows and created data-driven solutions for Fortune 500 clients. Her work on impactful use cases such as predicting SKUs for rare disease patients has been highly lauded by her peers and clients.
Supreet is a prolific speaker and has delivered nearly 40 talks on the intersection of technology, AI, and business. She is a passionate advocate for democratizing AI and actively shares her insights and perspectives on industry trends through her engaging content on LinkedIn and her personal blog.
Driven by her passion for technology and AI, Supreet founded DataBuzz, a vibrant community that serves as a platform for sharing the latest industry trends and mentoring individuals who are eager to pivot into this exciting field. Her commitment to empowering others and her vision for a more equitable and inclusive tech industry make her a true trailblazer in her field. She was also recognized as the Top 100 Women in AI in 2023.
Relevant Links
- Databuzz
- Youtube
- Allie K. Miller
- Smriti Mishra
- Isha Rani
- Serena H. Huang
Follow Supreet
- LinkedIn
- Medium
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- Website
Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Jerrie Kumalah, Analytics Engineer at SeatGeek, joins us to discuss how data strategy can benefit those in analytics roles and its part in improving stakeholder management and empowering others. We also cover the emerging space of analytics engineering.
About Jerrie
Jerrie Kumalah is a data detective with expertise in business intelligence, data science, and analytics engineering. She has a deep passion for democratizing data and empowering new data users. Jerrie believes in the power of data and finding ways to make it approachable and useful for all.
Relevant Links
- Chem Ph.D. to Social Impact Data Science with Leah Bowers
- Locally Optimistic Blog
- Data Angels Twitter
- Operational Analytics Club
Follow Jerrie
- LinkedIn
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- Website
Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Kathleen Brunner, CEO of Acumen, joins us to discuss enabling AI adoption and digital transformation in the life sciences.
About Kathleen
Kathleen has nearly 30 years implementing forward-focused technologies and solutions as entrepreneur, executive, investor and board member. She has an extensive network of senior executives and professionals. As a CEO and CIO leader she brings her work experience for many of the top life science and Fortune 500 companies coupled with go-to-market experience, technical, strategic and execution capabilities to contribute to the success of organizations.
Over the past decade she has built solutions resulting in multi-million-dollar exits and acquisitions, for customers and her company, with well-known leaders in the life science industry. Her team works tirelessly in pursuit of their mission to increase value for Life Science companies by accelerating the transformation of manual processes to digital through innovation, collaboration and by leveraging technology to accelerate outcomes. Her company has received awards as a Top Philadelphia Life Science Company, Top Philadelphia Women-Owned Business, Best Places to Work and has ranked in INC 5000, INC 5000 Regionals Northeast. Kathleen attended St. Joseph’s University for her BS in Finance and Stanford University’s Graduate School of Business Executive Leadership Program. Kathleen is the host of Life Sphere Podcast which features conversations with prominent life science leaders.
Relevant Links
- Acumen
- Life Sphere Podcast
Follow Kathleen
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- Twitter
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Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Jenn Schilling, Founder of Schilling Data Studio, joins us to discuss data visualization and her best practices. We also cover how she applies a design thinking process to visualization and how we can bring empathy into our data communication.
About Jenn
Jenn Schilling loves data! Over the past 10 years, she’s worked with data as a statistician, engineer, and analyst in a number of fields. Jenn also has experience as a middle school teacher and adjunct faculty member. She founded Schilling Data Studio to share her knowledge of data visualization design, analyzing data, and R so more people can build skills in data analysis and visualization.
Relevant Links
- Tidy Tuesday
- Viz for Social Good
- COVID-19 Dashboard
- 2022 Books Visualization
- Dear Data Project
- Giorgia Lupi &OtherStories Collaboration
- Jenn's Beverage Data Collage
- Nightingale Magazine
- Sándor Petőfi Exhibit in Hungary
- Functional Aesthetics for Data Visualization
- Data Visualization Society
Schilling Data Studio
- Website
- Instagram
Follow Jenn
- LinkedIn
- Twitter
- GitHub
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- Website
Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Leah Bowers, Lead Consultant of Data-driven Strategy at Sangfroid Strategy, joins us to discuss her transition from a PhD in Physical Chemistry to her newest role using data to drive social impact in the non-profit space. We also cover her advice for job searching and finding a role you are truly passionate about.
You can find episode notes, including transcript, relevant links, and Leah's Social Media profiles at womeninanalytics.com/podcast. Thanks for listening!
About Leah
Leah Bowers is a solution-driven data strategy analyst with 7+ years of computational research and data analysis experience. In grad school, Leah led a graduate rights group that developed a survey assessing how chemistry and physics students and postdocs felt in their depts and lab groups. The results were striking, forcing the dept to create dept-funded support groups.
Seeing the power of people-centered analytics, going through COVID, and experiencing the renewed fire of the BLM Movement, Leah graduated with her PhD in the summer of 2020 and shifted her career aspirations from academics to one creating an immediate positive impact. Leah's helped grassroots direct democracy ballot initiatives, renovate community spaces, carry out COVID vaccine drives, and expand transportation access for senior neighbors.
After a very intentional job search, Leah works at Sangfroid Strategy as a Lead Consultant in data-driven strategy for social impact, non-profit clients in Cleveland. Every day, she uses her mutual aid experience with her expertise in research, data analytics, and programming to help grow Sangfroid's own data infrastructure and that of its clients to drive further positive, sustainable impact.
Relevant Links
- Sangfroid Strategy
- Photochemical Degradation of the Carmine Dye Molecule in Artist Media
- Smithsonian National Museum of African American History & Culture
- Braiding Sweetgrass
- Futureproof
- The Long Game
- Range
Follow Leah
- LinkedIn
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- LinkedIn
- Twitter
- Website
Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Riesling Walker, Data Science Manager at Home Depot, joins us to discuss her data career path and the insights she's learned along the way. She shares her advice on how and when to change roles, and her recommendations to set yourself up for success when planning to make a move. We also explore how analytics differs across industries.
Learn, connect, and collaborate with the global data community at the 2023 DataConnect Conference on July 20th and 21st in Columbus, OH. DataConnect brings together industry leaders, technical experts and entrepreneurs to discuss the latest in data, analytics, machine learning, and AI. Use promo code WIAAfterHours for a 15% discount off Regular or Virtual Conference passes.
About Riesling
Riesling Walker is a Data Science Manager at Home Depot within the Merchandise Execution Team. Riesling was previously a Senior Data and Applied Scientist at Microsoft and is a recent graduate of the Georgia Tech Online Masters in Analytics. In her analytics and data science career, she has worked in online retail, store-side retail, credit cards, B2B, SaaS, product, and marketing, giving her a diverse set of experiences.
Riesling's Articles on Medium
- Changing roles: Good or bad for your data career?
- Networking 101: Make the Most Out of Your LinkedIn Connection Requests
- How to initiate changing roles internally
- Writing a resume for a data science role
Relevant Links
- Georgia Tech Online Master of Science in Analytics
- MeasureCamp
- Marketing Analytics Summit
- MeasureChat
Follow Riesling
- LinkedIn
- Medium
- Website
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- LinkedIn
- Twitter
- Website
Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Noemi Derzsy, Principal Inventive Scientist at the AT&T Chief Data Office, joins us to discuss how her background in physics and network science led her to AT&T where she applies those skills to understand and model customer behavior.
About Noemi
Noemi Derzsy is a Senior Inventive Scientist at AT&T Chief Data Office within the Data Science and AI Research organization. Her research is centered on understanding and modeling customer behavior and experience through large-scale consumer and network data using machine learning, network analysis/modeling, spatiotemporal mining, text mining, and natural language processing techniques.
Prior to joining AT&T, Noemi was a Data Science Fellow at Insight Data Science NYC and a postdoctoral research associate at Social Cognitive Networks Academic Research Center at Rensselaer Polytechnic Institute. She holds a Ph.D. in Physics, an MS in Computational Physics, and has a research background in Network Science and Computer Science.
Noemi is also involved in volunteering in the data science community. She is a NASA Datanaut and former organizer of the Data Umbrella and NYC Women in Machine Learning and Data Science meetup groups.
Relevant Links
- Insight Data Science Fellowship
- AT&T Labs
- An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research (Paper)
- NASA Open Data Portal
- NASA Datanauts GitHub
- Graphs For Science Newsletter
- Data Umbrella
Follow Noemi
- LinkedIn
- Twitter
- GitHub
- Website
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- LinkedIn
- Twitter
- Website
Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Dr. Brandeis Marshall, CEO at DataedX Group, joins us to discuss her new book Data Conscience: Algorithmic Siege on our Humanity. We dive deeper into the concept of algorithmic destruction, its effective implementation, and its role in the future of AI regulation.
About Brandeis
Brandeis Hill Marshall teaches, speaks, and writes about the impact of data practices on technology and society. She is an accomplished educator-scholar instructing thousands and leading federally funded projects.
Marshall is the Founder and CEO of DataedX Group, LLC. DataedX Group provides learning and development training to help educators, scholars, and practitioners humanize their data practices by recognizing and mitigating algorithmic harms.
Marshall holds a Ph.D. and Master of Science in Computer Science from Rensselaer Polytechnic Institute and a Bachelor of Science in Computer Science from the University of Rochester.
Relevant Links
- Data Conscience: Algorithmic Siege on our Humanity (Book)
- Algorithmic Destruction (Paper by Tiffany Li)
- Predictive privacy: towards an applied ethics of data analytics (Paper by Rainer Mühlhoff)
- Black Women in Data Summit
- Medium - Brandeis Marshall
- DataedX Group
- DataCareerPaths.com
- AI Ethics Weekly
- Rebel Tech Newsletter
Follow Brandeis
- Website
- LinkedIn
- Twitter
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- LinkedIn
- Twitter
- Website
Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Naomi Smulders, a Data Scientist at Online Dialogue, joins us to discuss her path into data science from psychology and cognitive neuroscience, how a process mining approach can be used to analyze the customer journey of web users, and the importance of building and growing communities.
About Naomi
Naomi is a Data Scientist at Online Dialogue, a small online experimentation consultancy firm, where she designs new data science products in an interdisciplinary team of psychologists, designers, and developers. She has a background in Psychology (BSc), Cognitive Neuroscience (RMSc) and an Engineering Doctorate (EngD) in Data Science.
Naomi likes analyzing large quantities of data to gain insights into human behavior. Alongside modeling and storytelling, Naomi enjoys teaching and giving presentations. She has previously taught statistics courses and training and has presented at several national and international conferences and meetups.
Naomi is a member of the Outlier Events committee and has helped to organize the first two editions of the Data Visualization Society's Outlier conference. She also co-founded DSconnect, the alumni association for the EngD in Data Science program at the Jheronimus Academy of Data Science.
Relevant Links
- Cardiff University
- The Netherlands Cancer Institute
- Eindhoven University
- Google Analytics
- Jheronimus Academy of Data Science
- DSconnect
- Outlier Conference
- Data Visualization Society
Follow Naomi
- LinkedIn
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- LinkedIn
- Twitter
- Website
Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Jen Seale, Head of Analytics at Olive AI, joins us to discuss her strategies for building and growing high-performing analytics teams.
This episode is sponsored by Panoply. Visit panoply.io/wia for 30 days free.
About Jen
Jen Seale has built and led transformational analytics teams over the past decade in diverse organizational environments such as Olive AI, CoverMyMeds, and Nationwide Insurance. With a passion for illuminating customer value and a knack for systems thinking, Jen builds analytics teams that balance the needs of the business with the strengths and developmental needs of her team members.
Jen holds Master's degrees in both Literature and Computer Science and became obsessed with the power of data to tell and endorse stories worth hearing early in her career.
Relevant Links
- Thinking, Fast and Slow by Daniel Kahneman
Follow Jen
- LinkedIn
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- LinkedIn
- Twitter
- Website
Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Tanya Zyabkina, Consultant at Probabilistically, joins us to discuss her journey in marketing and digital analytics over the years. We also cover key developments, trends, and common misconceptions in the area.
About Tanya
Tanya Zyabkina is a Principal at her analytics consulting practice, Probabilistically, where her goal is to help companies make better decisions based on data.
Tanya’s expertise comes from leading the analytics function for Fortune 500 companies in the retail and telecom industries. Her experience spans from qualitative market research in the fashion industry to building an enterprise data warehouse for an online publishing company.
She received her MBA in Marketing from the Ohio State University and her most recent formal education was a Graduate Certificate in Data Science from Harvard University Extension School.
A transplant from Siberia to the Midwest, Tanya resides in Columbus, Ohio with her family, and she finds Ohio winters a bit too warm for her taste.
She writes about analytics on her personal website zyabkina.com and on her practice website probabilistically.com.
Relevant Links
- Probabilistically
- Avinash Kaushik
Follow Tanya
- Website
- LinkedIn
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- LinkedIn
- Twitter
- Website
Transcript
CLICK HERE
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Dr. Tanya Berger-Wolf joins us to discuss the development of computational ecology, the latest in the field of conservation AI, and the new field of study that she has established, known as Imageomics.
About Dr. Berger-Wolf
Dr. Tanya Berger-Wolf is a Professor of CS Engineering, Electrical & Computer Engineering, and Evolution, Ecology and Organismal Biology at The Ohio State University, where she is also Director of the Translational Data Analytics Institute. She was awarded a US National Science Foundation $15M grant to establish a new Harnessing Data Revolution Institute, founding a new field of study: Imageomics.
As a computational ecologist, her research is at the unique intersection of computer science, wildlife biology, and social sciences. She creates computational solutions to address questions such as how environmental factors affect the behavior of social animals (humans included).
She a director/co-founder of the conservation software non-profit Wild Me, home of the Wildbook project, which was recently chosen by UNSECO as one of the top AI 100 projects worldwide supporting the UN Sustainable Development Goals. It's been featured in media including Forbes, The NYTimes, CNN, NatGeographic, and The Economist.
Prior to coming to OSU in January 2020, Berger-Wolf was at the University of Illinois at Chicago. Berger-Wolf holds a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign. She has received numerous awards for her research and mentoring, including University of Illinois Scholar, UIC Distinguished Researcher of the Year, US National Science Foundation CAREER, Association for Women in Science Chicago Innovator, and the UIC Mentor of the Year.
Relevant Links
- Biometric animal databases from field photographs: identification of individual zebra in the wild (Paper)
- StripeSpotter (Google Code Archive)
- HotSpotter-Patterned species instance recognition (Paper)
- Some like it hot: Repeat migration and residency of whale sharks within an extreme natural environment (Paper)
- International Union for the Conservation of Nature
- Science and Method (Book by Henri Poincaré)
- iNaturalist
- Gregor Mendel (Wikipedia page)
- Mendel's experiments (Article)
- eBird
- Imageomics
Follow Tanya
Webpage
LinkedIn
Follow Lauren
Website
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Overview
Shinji Kim, Founder and CEO of Select Star, joins us to discuss what it means to govern and manage data in modern organizations, and how companies can set themselves up for success when getting started.
This episode was recorded live at the 2022 DataConnect Conference. Special thank you to WIA Advisory Board Member Dave Cherry for assistance in preparation.
About Shinji Kim
Shinji is the Founder & CEO of Select Star, an automated data discovery platform that helps you understand your data. Previously, she was the CEO of Concord Systems (concord.io), a NYC-based data infrastructure startup acquired by Akamai Technologies in 2016. She led building Akamai’s new IoT data platform for real-time messaging, log processing, and edge computing. Shinji studied Software Engineering at University of Waterloo and General Management at Stanford GSB. She advises early stage startups on product strategy, customer development, and company building.
Relevant Links
- Select Star (Shinji's company)
- Designing Data-Intensive Applications (Book by Martin Kleppmann)
- Concord Systems, Inc. (Shinji's previous company that was acquired by Akamai)
- Apache Kafka (Software)
- Apache Samza (Software)
- Shinji's Articles on Medium
Follow Select Star
- Select Star on Medium
- Select Star on LinkedIn
- Select Star on Twitter
Follow Shinji
- LinkedIn
- Twitter
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- LinkedIn
- Twitter
- Website
Transcript
Click Here
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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Overview
Meghan Hall, Data Analyst and R Educator, joins us to discuss her unique path into Hockey Analytics, how open source can be a stepping stone to new skills and career paths, and how your public or open source work can lead to opportunities. As a community-taught R programmer, Meghan also dives into how she has benefited from and contributes to community education.
About Meghan Hall
Meghan Hall has spent over seven years as a data professional in higher education. She also has experience in sports analytics, as an ongoing contributor to the public community and previously as a data scientist at Zelus Analytics. She is dedicated to R education, particularly for beginners, and frequently delivers talks, workshops, and classes.
Relevant Links
- Hockey Graphs
- Meghan's Articles on Hockey Graphs
- Blue Jackets Hockey Analytics Conference (Hosted in Columbus in February 2020)
- RStudio Conference
- Cultivating Your Own R Ecosystem as a Solo Contributor (Meghan's RStudio Conf talk)
- Articulation (Conference Speaker Coaching)
- R for Data Science (Book)
- GitHub
Follow Meghan
- Twitter
- Website
- Tableau
- GitHub
Follow Lauren
- LinkedIn
- Twitter
- Website
Transcript
Click Here
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Interested in sponsoring an episode of the WIA After Hours Podcast? Visit womeninanalytics.com/podcast for sponsorship information.
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